Coupled evaluation and forecasting of smart city sustainability with Kolmogorov-Arnold networks
Smart cities face the challenge of balancing infrastructure development, pollution management and ecological sustainability, especially in unevenly developed regions in China's urban areas. A specific gap in current practice is the absence of integrated forecasting and evaluation tools capable...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | Environmental and Sustainability Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665972725002041 |
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| author | Jianjun Yang Zixuan Zhu Tris Kee Zejun Xuan Shuran Qin |
| author_facet | Jianjun Yang Zixuan Zhu Tris Kee Zejun Xuan Shuran Qin |
| author_sort | Jianjun Yang |
| collection | DOAJ |
| description | Smart cities face the challenge of balancing infrastructure development, pollution management and ecological sustainability, especially in unevenly developed regions in China's urban areas. A specific gap in current practice is the absence of integrated forecasting and evaluation tools capable of addressing regional disparities and optimising sustainable urban planning. To fill the gap, this study proposes a novel integrated evaluation framework that combines TOPSIS, Coupled Coordination and Kolmogorov-Arnold Networks (KANs) for time-series forecasting of indicators for systematic sustainability evaluation. The results indicate that the overall coordination level of China's 21 smart cities has gradually improved, exhibiting progressive coordination characteristics. The comprehensive evaluation framework effectively reflects the long-term changes in smart city development and reveals potential synergies between regions. This study provides an evaluation basis and a practical path for regional differentiation policy and optimal resource allocation. |
| format | Article |
| id | doaj-art-dfa46ca6031646fa8a75c4b352aa0036 |
| institution | Kabale University |
| issn | 2665-9727 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environmental and Sustainability Indicators |
| spelling | doaj-art-dfa46ca6031646fa8a75c4b352aa00362025-08-20T03:50:12ZengElsevierEnvironmental and Sustainability Indicators2665-97272025-09-012710078310.1016/j.indic.2025.100783Coupled evaluation and forecasting of smart city sustainability with Kolmogorov-Arnold networksJianjun Yang0Zixuan Zhu1Tris Kee2Zejun Xuan3Shuran Qin4Department of Building and Real Estate, The Hong Kong Ploytechnic University, Hong Kong, ChinaDepartment of Electrical and Electronic Engineering, The Hong Kong Ploytechnic University, Hong Kong, ChinaDepartment of Building and Real Estate, The Hong Kong Ploytechnic University, Hong Kong, China; Corresponding author.Guangdong Institute of Arts and Sciences, Zhanjiang, ChinaGuangdong Institute of Arts and Sciences, Zhanjiang, ChinaSmart cities face the challenge of balancing infrastructure development, pollution management and ecological sustainability, especially in unevenly developed regions in China's urban areas. A specific gap in current practice is the absence of integrated forecasting and evaluation tools capable of addressing regional disparities and optimising sustainable urban planning. To fill the gap, this study proposes a novel integrated evaluation framework that combines TOPSIS, Coupled Coordination and Kolmogorov-Arnold Networks (KANs) for time-series forecasting of indicators for systematic sustainability evaluation. The results indicate that the overall coordination level of China's 21 smart cities has gradually improved, exhibiting progressive coordination characteristics. The comprehensive evaluation framework effectively reflects the long-term changes in smart city development and reveals potential synergies between regions. This study provides an evaluation basis and a practical path for regional differentiation policy and optimal resource allocation.http://www.sciencedirect.com/science/article/pii/S2665972725002041Smart citiesSustainable developmentComprehensive evaluationCoupling coordination degreeTOPSISKolmogorov |
| spellingShingle | Jianjun Yang Zixuan Zhu Tris Kee Zejun Xuan Shuran Qin Coupled evaluation and forecasting of smart city sustainability with Kolmogorov-Arnold networks Environmental and Sustainability Indicators Smart cities Sustainable development Comprehensive evaluation Coupling coordination degree TOPSIS Kolmogorov |
| title | Coupled evaluation and forecasting of smart city sustainability with Kolmogorov-Arnold networks |
| title_full | Coupled evaluation and forecasting of smart city sustainability with Kolmogorov-Arnold networks |
| title_fullStr | Coupled evaluation and forecasting of smart city sustainability with Kolmogorov-Arnold networks |
| title_full_unstemmed | Coupled evaluation and forecasting of smart city sustainability with Kolmogorov-Arnold networks |
| title_short | Coupled evaluation and forecasting of smart city sustainability with Kolmogorov-Arnold networks |
| title_sort | coupled evaluation and forecasting of smart city sustainability with kolmogorov arnold networks |
| topic | Smart cities Sustainable development Comprehensive evaluation Coupling coordination degree TOPSIS Kolmogorov |
| url | http://www.sciencedirect.com/science/article/pii/S2665972725002041 |
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